Iterative Learning Control for Systems with Iteration-Varying Trial Lengths Synthesis and Analysis /

This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might r...

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Bibliographic Details
Main Authors: Shen, Dong (Author), Li, Xuefang (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Subjects:
Control engineering.
System theory.
Control theory.
Engineering mathematics.
Engineering > Data processing.
Algorithms.
Control and Systems Theory.
Systems Theory, Control.
Mathematical and Computational Engineering Applications.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Averaging and Expectation Techniques for Linear DT Systems
  • Lifting Techniques for Linear DT Systems
  • Moving Averaging Techniques for Linear DT Systems
  • Switching System Techniques for Linear DT Systems
  • Moving Averaging Tehcniques for Nonlinear CT Systems
  • Modified Lambda-Norm Techniques for Nonlinear DT Systems
  • Sampled-Data Control Techniques for Nonlinear CT Systems
  • CEF Techniques for Parameterized Nonlinear CT Systems
  • CEF Techniques for Nonparameterized Nonlinear CT Systems
  • Summary and Future Research Directions
  • Appendix.

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